Divide-and-conquer: machine-learning integrates mammalian and viral traits with network features to predict virus-mammal associations
A more comprehensive map of viral host ranges can help identify and mitigate zoonotic and animal-disease risks. A divide-and-conquer approach which separates viral, mammalian and network features predicts over 20,000 unknown associations between known viruses and susceptible mammalian species.
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2021-06-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-24085-w |